STOCK MENTOR: A GAMIFIED VIRTUAL ECOSYSTEM FOR STOCK MARKET EDUCATION, REAL-TIME PORTFOLIO SIMULATION, AND AI-BASED DECISION SUPPORT
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The stock market is often difficult for beginners to understand and most learning platforms are not engaging or beginner-friendly. This paper presents Stock Mentor, a web-based platform designed to make stock market learning simple, interactive and risk free. Stock Mentor combines real-time stock market simulation, AI-based guidance and game like features to improve the learning experience. User can practice trading using virtual money receive simple buy/sell/hold suggestion with explanations and stay motivated through feature like point, badge, leaderboards and level. The system is built using modern web technologies such as Spring Boot, React.js, MySQL, Redis and WebSocket, ensuring smooth performance and real time updates. Testing of the platform shows that users gained better understanding of financial concept and were more actively engaged compared to traditional learning method.
Overall, Stock Mentor provides an effective and user-friendly way to learn stock market concept, making financial education more accessible and practical for beginners
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Yadav, V., Ranjan, R., Singh, H. & Raj, A. (2026). Stock Mentor: A Gamified Virtual Ecosystem for Stock Market Education, Real-Time Portfolio Simulation, and AI-Based Decision Support. International Journal of Science, Strategic Management and Technology, 02(05). https://doi.org/10.55041/ijsmt.v2i5.172
Yadav, Vivek, et al.. "Stock Mentor: A Gamified Virtual Ecosystem for Stock Market Education, Real-Time Portfolio Simulation, and AI-Based Decision Support." International Journal of Science, Strategic Management and Technology, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i5.172.
Yadav, Vivek,Ritik Ranjan,Harshit Singh, and Adarsh Raj. "Stock Mentor: A Gamified Virtual Ecosystem for Stock Market Education, Real-Time Portfolio Simulation, and AI-Based Decision Support." International Journal of Science, Strategic Management and Technology 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i5.172.
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